Principal Data Engineer - Real-Time Streaming & AI Platforms

Talentify

Philadelphia (Philadelphia County)

Hybrid

USD 117,000 - 124,000

Full time

14 days+
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Job summary

GTT is seeking a Principal Data Engineer in Philadelphia with hybrid onsite flexibility. You will build and lead production-grade data pipelines focused on real-time decisioning, IoT telemetry, and analytics using Databricks and Azure, owning the data platform and service delivery for APIs and ML/AI workloads.

This hands-on leadership role requires mentoring engineers, shaping data products, and collaborating with business, product, analytics, and operations to drive delivery with urgency,

Qualifications

  • ,

Responsibilities

  • Hands-On Data Engineering and Platform Development: design, build, and operate production-grade batch and streaming pipelines on Azure and Databricks.
  • Real-Time Streaming, IoT Telemetry, and Operational Data Services: lead real-time ingestion and processing for medical device telemetry and operational feeds.
  • Databricks, Lakehouse, and Data Platform Architecture: set direction for Databricks patterns and data modeling.
  • Stakeholder Shaping and Cross-Functional Partnership: translate business needs into data requirements and delivery plans.
  • Team Management and Principal-Level Technical Leadership: mentor engineers and lead design reviews and production readiness.

Skills

Azure data engineering
Databricks
PySpark
Spark SQL
Python
SQL
CI/CD
Streaming data
Data pipelines

Tools

Azure
Databricks
Delta Lake
Spark
CI/CD tooling
Python/PySpark

Job description

GTT is seeking a Principal Data Engineer in Philadelphia with hybrid onsite flexibility. You will build and lead production-grade data pipelines focused on real-time decisioning, IoT telemetry, and analytics using Databricks and Azure, owning the data platform and service delivery for APIs and ML/AI workloads.

This hands-on leadership role requires mentoring engineers, shaping data products, and collaborating with business, product, analytics, and operations to drive delivery with urgency,

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